Optimal Dispatching Strategy for Electric Vehicle Charging Station Based on Soft Actor-Critic Algorithm
Electric vehicles are emerged as a promising clean energy transportation solution. However, a massive deployment of EVs tends to create new technical challenges for modern power systems, such as the orderly dispatch of EVs charging. To this end, this paper develops an optimal dispatching method for electric vehicles charging station to maximize its own profit as well as enhance the stability of distribution networks. Moreover, an enhanced deep reinforcement learning based method call soft actor-critic is utilized to deal with the optimization problem and obtain the optimal dispatching strategy. The experiment results illustrate that the proposed method can significantly maximize the charging station's profit.
Authors
- Haijing Zhang (ORCID: https://orcid.org/0000-0002-3305-2507)
- Yue Liang (ORCID: https://orcid.org/0009-0007-7474-2663)
- Meng Li (ORCID: https://orcid.org/0000-0003-3553-0813)
- Yong Xia (ORCID: https://orcid.org/0000-0001-9273-2847)
- Feng Zhu (ORCID: https://orcid.org/0000-0001-8894-1005)
- Jiyan Liu (ORCID: https://orcid.org/0000-0003-4885-5481)
Institutions
- State Grid Corporation of China (China) (CN)
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1109/ciced63421.2024.10754570
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00